三大機器翻譯技術的high-level概述：Neural, Rule-Based and Phrase-Based Machine Translation
http://blog.systransoft.com/how-does-neural-machine-translation-work/ In this issue of step-by-step articles, we explain how neural machine translation (NMT) works and compare it with existing technol
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相關文章
- 1. 神經網絡機器翻譯Neural Machine Translation: Attention Mechanism
- 2. 基於樹模型的機器翻譯《Forest-Based Neural Machine Translation》
- 3. 無監督機器翻譯Unsupervised Neural Machine Translation with SMT as Posterior Regularization
- 4. 無監督神經機器翻譯Unsupervised Neural Machine Translation with Weight Sharing
- 5. CS224n-Lecture8-Machine Translation, Seq2Seq and Attention
- 6. Bridging the Gap between Training and Inference for Neural Machine Translation翻譯
- 7. 【cs224n-7】Machine Translation, Seq2Seq and Attention
- 8. lecture8 - Machine Translation Seq2Seq and Attention
- 9. Neural Machine Translation by Jointly Learning to Align and....
- 10. Neural Machine Translation by Jointly Learning to Align and Translate